The security threat landscape continues to evolve not just in scale, but, more importantly, in sophistication. Despite a range of advancements in the industry to safeguard against increasingly bold and intricate threats, organizations have struggled to keep pace with the technologies and techniques employed by those responsible for such attacks. As companies continue to increase their digital footprints, "identify and diagnose" capabilities are not enough to remediate against a growing fundamental business challenge for organizations of all shapes and sizes. We spoke with Avivah Litan, vice president and distinguished analyst at Gartner, about the development of advanced security analytics and important considerations for organizations looking to implement machine learning to defend against an array of internal and external security threats. Q: How are analytics and machine learning changing the current security landscape?

This post teaches you how to implement your own spam filter in under 100 lines of Python code. While doing this hands-on exercise, you'll work with natural language data, learn how to detect the words spammers use automatically, and learn how to use a Naive Bayes classifier for binary classification. The task is to distinguish between two types of emails, "spam" and "non-spam" often called "ham". The machine learning classifier will detect that an email is spam if it is characterised by certain features. The textual content of the email – words like "Viagra" or "lottery" or phrases like "You've won a 100,000,000 dollars!

Hi everyone, its been quite awhile since I've posted. I have a number of great things in the works, so please stay tuned. In the meantime, I'd like to tell you a story about how I developed another kind of artificial intelligence. This AI can create poetry indistinguishable from real poets. The real Turing Test of this AI was to get it accepted to a literary journal, which was accomplished – this poetry was successfully accepted into a literary journal at a prestigious university.

Apple now has the tech in place to give its digital assistant a big boost thanks to a UK-based company called VocalIQ it bought last year. In fact, it was so impressive that Apple bought VocalIQ before the company could finish and release its smartphone app. After the acquisition, Apple kept most of the VocalIQ team and let them work out of their Cambridge office and integrate the product into Siri. Before Apple bought the company, VocalIQ tested its product against Siri, Google Now, and Cortana, and the results were impressive. Users asked each AI questions using normal language, not the robotic commands you're used to using with digital assistants.

The advancement of artificial intelligence may lead to sentient machines being granted'human' rights, Oxford University professor for the public understanding of science, Marcus du Sautoy, has said. Speaking at The Hay Literary Festival (via The Telegraph), Sautoy said: "It's getting to a point where we might be able to say this thing has a sense of itself and maybe there is a threshold moment where suddenly this consciousness emerges. One of the things I address in my new book is how can you tell whether my smartphone will ever be conscious. "The fascinating thing is that consciousness for a decade has been something that nobody has gone anywhere near because we didn't know how to measure it. We now have a telescope into the brain and it's given us an opportunity to see things that we've never been able to see before.

Apple is set to hold its biggest software event of the year, WWDC, in the middle of June. It'll use the San Francisco event to show off all of the software that's on its way to your Watch, phone and other computers – as well as potentially new Apple devices. The event comes at a big time for Apple. The company is fresh off the back of its first quarter of decline since the iPhone came out, and is feeling the heat from other companies like Google. It will intend to use WWDC as a way of showcasing the software and potentially other products that it hopes will prove its doubters wrong and get the company to grow again.

Czech writer Karel?apek's 1920 play R.U.R. (Rossum's Universal Robots), which famously introduced the word robot to the world, begins with synthetic humans--the robots from the title--toiling in factories to produce low-cost goods. It ends with those same robots killing off the human race. Thus was born an enduring plot line in science fiction: robots spiraling out of control and turning into unstoppable killing machines. Twentieth-century literature and film would go on to bring us many more examples of robots wreaking havoc on the world, with Hollywood notably turning the theme into blockbuster franchises like The Matrix, Transformers, and The Terminator. Lately, fears of fiction turning to fact have been stoked by a confluence of developments, including important advances in artificial intelligence and robotics, along with the widespread use of combat drones and ground robots in Iraq and Afghanistan. The world's most powerful militaries are now developing ever more intelligent weapons, with varying degrees of autonomy and lethality.

Many IoT applications generate so much data that it isn't humanly possible to analyze and act upon it in time. Data scientists analyze mountains of data to identify patterns and define rules on how the IoT system should respond. Things change though, and new factors emerge which influence what the right action to take is. How do you make sure that your IoT system evolves in a changing environment and picks the optimal response? The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to be addressed, especially by developers.

Artificial Intelligence refers to the study and integration of intelligent systems which are capable of accomplishing the tasks which employ human intelligence such as visual perception, speech recognition, and decision-making. The integrated systems work on a particular set of algorithms predefined by the analysts and scientists. These algorithms act as a knowledge database to the machines. The usage of artificial intelligence is gaining momentum as the accuracy of the task performed by the system of the machine is several times higher than human beings. The major advantage of artificial intelligence is that machines or systems do not require periodic breaks, and are capable of performing the same activity repetitively.

"It was magical, it was a moment in history," recalls Joseph Atick of the day in 1994 when the computer he and colleagues at Rockefeller University had built was able to recognize its masters' faces. As each of the three mathematicians introduced themselves, a metallic voice responded, "I see Joseph. Atick, who now chairs an organization that promotes identification technologies, says, "We didn't realize what we'd just done." Fast-forward two decades and picture a talking mannequin that greets a shopper by name as she enters a favorite store, informing her that pants that match the blouse she bought a week earlier have just been marked down. "It's just a matter of time until we start to see this technology reach shopping malls and beyond--it's ready right now," says Werner Goertz, a Gartner analyst who has authored a report on the adoption of facial recognition and other surveillance tools by retailers, casinos, and theme parks.